[KongchangAI]
Unverified50% confidenceFactExact time

The computational cost of the Transformer self-attention mechanism grows quadratically with context length, and the "Lost in the Middle" effect causes the model to extract information from the middle of the window less effectively than from the beginning and end.

1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen

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